Transformer-Based Approach for Predicting Transactive Energy in Neurorehabilitation by Naveed Ahmad Khan, Tanishka Goyal, Fahad Hussain, Prashant K. Jamwal, Shahid Hussain

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A Hierarchical ViT With Dynamic Window Shift Unit and Curriculum Learning for Remote Sensing Image Scene Classification by Yi Liu, Xiang Wu, Jihuan Ren, Jiacun Wang, Yuming Bo, Yuanhao Wang

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QLAW: An Improved Quantization-Based Local Audio Watermarking Scheme Using Inter-Frame Correlation by Qiutong Li, Zheng Xing, Ju Wang, Guoheng Huang, Xiaochen Yuan

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Emergency message broadcast through SBAS satellites: a novel framework using message type 63 of GAGAN constellation by P. Ramakrishna Phani, T.M. Balakrishnan Nair, G. Lavanya Devi, J. Padmanabham, V. Venugopala Rao, Mohanlal Malvi, Pankaj Gupta

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Using Serious Game Techniques with Health Sciences and Biomedical Engineering Students: An Analysis Using Machine Learning Techniques by María Consuelo Sáiz-Manzanares, Raúl Marticorena-Sánchez, María Camino Escolar-Llamazares, Irene González-Díez, Rut Velasco-Saiz

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Task Scheduling of Multiple Humanoid Robot Manipulators by Using Symbolic Control by Mete Özbaltan, Nihan Özbaltan, Hazal Su Bıçakcı Yeşilkaya, Murat Demir, Cihat Şeker, Merve Yıldırım

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Large language models in oncology: a review by Fei-Fei Liu, David Chen, Srinivas Raman, Rod Parsa, Karl Swanson, John-Jose Nunez, Andrew Critch, Danielle S Bitterman

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CD4C: Change Detection for Remote Sensing Image Change Captioning by Xiliang Li, Bin Sun, Zhenhua Wu, Shutao Li, Hu Guo

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Viral particle prediction in wastewater treatment plants using nonlinear lifelong learning models by Jianxu Chen, Ibrahima N’Doye, Yevhen Myshkevych, Fahad Aljehani, Mohammad Khalil Monjed, Taous-Meriem Laleg-Kirati, Pei-Ying Hong

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An ultra-compact microstrip bandpass filtering coupler with suppressed harmonics and low group delay: A novel structure for 5G applications by Salah I. Yahya, Farid Zubir, Leila Nouri, Noorlindawaty Md Jizat

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Traversability Analysis and Path Planning for Autonomous Wheeled Vehicles on Rigid Terrains by Nan Wang, Xiang Li, Zhe Suo, Jiuchen Fan, Jixin Wang, Dongxuan Xie

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SAFER-predictor: Sparse adversarial training framework for robust traffic prediction under missing and noisy data by Yutian Liu, Chengfeng Jia, Soora Rasouli, Jian Gong, Tao Feng, Melvin Wong, Tianjin Huang

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Innovative Flood Impact Monitoring and Harvest Analysis in Oil Palm Plantations Utilizing Geographic Information Systems and Deep Learning by Supattra Puttinaovarat, Supaporn Chai-Arayalert, Wanida Saetang, Kanit Khaimook, Sasikarn Plaiklang, Paramate Horkaew

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Wind and grid energy-based onshore beach charging station for electric vehicles: An integration infrastructure with techno economics, sustainable mobility, and environmental protec... by Anis ur Rehman, Muhammad Fahad Zia, Harism. Khalid, Zafar Said, S.M. Muyeen

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ScTCN-LightGBM: a hybrid learning method via transposed dimensionality-reduction convolution for loading measurement of industrial material by Zihua Chen, Runmei Zhang, Zhong Chen, Yu Zheng, Shunxiang Zhang

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Transforming Agriculture into Energy: Unlocking Ukraine’s Bioenergy Potential for Sustainable Post-Conflict Recovery by Sergiusz Pimenow, Olena Pimenowa, Lubov Moldavan, Liudmyla Udova, Mirosław Wasilewski, Natalia Wasilewska

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Advanced analytics to improve energy efficiency of steel industry - A systematic review on ladle logistics by Akhil Raja Keshetti, Victor S.P. Ruela, Hao Chen, Marcos R. Machado

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CNN Assisted Dual Reservoir Hybrid Network for Power Consumption Forecasting by Hammad I. Sherazi, Omar Alrumayh, Shabana Habib, Abdulrahman Alsafrani, Muhammad Islam, Hedi A. Guesmi

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Promoting Healthy Lifestyle Strategies among Couples for Sustainable Family Survival in Oyo State, Nigeria by Taiwo Adekemi Akinyemi, Olajide Olatunde Adeola, Halimot Omobola Toriola

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Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…The proposed methodology includes a set of single-layer AEs with a very limited number of neurons, each one trained with the mono-temporal spectral features of a small set of samples belonging to a class, resulting in a model capable of processing very large areas in a short computational time. …”
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